Personalising sarcoma care using quantitative multimodality imaging for response assessment

Clinical Radiology, vol. 76, pp. 313.e1–313.e13

Abstract

Over the last decades, technological developments in the field of radiology have resulted in a widespread use of imaging for personalising medicine in oncology, including patients with a sarcoma. New scanner hardware, imaging protocols, image reconstruction algorithms, radiotracers, and contrast media, enabled the assessment of the physical and biological properties of tumours associated with response to treatment. In this context, medical imaging has the potential to select sarcoma patients who do not benefit from (neo-)adjuvant treatment and facilitate treatment adaptation. Due to the biological heterogeneity in sarcomas, the challenge at hand is to acquire a practicable set of imaging features for specific sarcoma subtypes, allowing response assessment. This review provides a comprehensive overview of available clinical data on imaging-based response monitoring in sarcoma patients and future research directions. Eventually, it is expected that imaging-based response monitoring will help to achieve successful modification of (neo)adjuvant treatments and improve clinical care for these patients.

Authors 10

1. Gijsbert M. Kalisvaart corresponding Aachen Department of Radiology, Leiden University Medical Center

   Leiden University Medical Center

   Affiliation as printed

   Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands. Electronic address: g.m.kalisvaart@lumc.nl

   Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands

2. J. L. Bloem Aachen Department of Radiology, Leiden University Medical Center

   Leiden University Medical Center

   Affiliation as printed

   Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands

3. Judith V.M.G. Bovée Aachen Department of Pathology, Leiden University Medical Center

   Leiden University Medical Center

   Affiliation as printed

   Department of Pathology, Leiden University Medical Center, Leiden, the Netherlands

4. Michiel A. J. van de Sande Aachen Department of Orthopaedics, Leiden University Medical Center

   Leiden University Medical Center

   Affiliation as printed

   Department of Orthopaedics, Leiden University Medical Center, Leiden, the Netherlands

5. Hans A. J. Gelderblom Aachen Department of Medical Oncology

   Leiden University Medical Center

   Affiliation as printed

   Department of Medical Oncology, Leiden University Medical Center, Leiden, the Netherlands

6. Jos A. van der Hage Aachen Department of Surgery, Leiden University Medical Center

   Leiden University Medical Center

   Affiliation as printed

   Department of Surgery, Leiden University Medical Center, Leiden, the Netherlands

7. H.H. Hartgrink Aachen Department of Surgery, Leiden University Medical Center

   Leiden University Medical Center

   Affiliation as printed

   Department of Surgery, Leiden University Medical Center, Leiden, the Netherlands

8. Augustinus D. G. Krol Aachen Department of Radiation Oncology. Leiden University Medical Center

   Leiden University Medical Center

   Affiliation as printed

   Department of Radiation Oncology. Leiden University Medical Center, Leiden, the Netherlands

9. Lioe‐Fee de Geus‐Oei Aachen Department of Radiology, Leiden University Medical Center

   Leiden University Medical Center · University of Twente

   Affiliation as printed

   Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands; Biomedical Photonic Imaging Group, University of Twente, Enschede, the Netherlands

   Biomedical Photonic Imaging Group, University of Twente, Enschede, the Netherlands

   Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands

10. Willem Grootjans Aachen Department of Radiology, Leiden University Medical Center

    Leiden University Medical Center

    Affiliation as printed

    Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands